Senior Dermatology AI Evaluation Reviewer

The work

You will provide senior clinical review for complex and ambiguous dermatology cases used to curate clinical data and evaluate AI models. Your work will rely on current dermatology guidelines, careful clinical reasoning, and clear written documentation.

You will also help create evaluation frameworks, resolve disagreements among reviewers, advise on model outputs, and support documented clinical consensus.

• Review difficult or ambiguous dermatology cases.
• Provide guideline-aligned feedback on AI model outputs.
• Lead structured resolution of reviewer disagreements.
• Contribute to clinical evaluation frameworks and subspecialty consultation.
• Document clinically defensible conclusions and follow project protocols.
• Disclose relevant conflicts of interest.
• Work with graphic medical images and clinically complex cases.

What it pays and takes

This is a fully remote, asynchronous independent contractor engagement lasting four weeks, with occasional synchronous calls. Compensation is paid per task, with the amount based on experience, academic standing, and clinical expertise.

The role requires advanced dermatology expertise and an academic clinical background. Subspecialty training, research, teaching, and prior clinical AI experience are helpful but are not stated as required.

• Pay: Per-task compensation in USD; the task amount is determined by experience, academic standing, and clinical expertise.
• Location: United States only.
• Language: English.
• Schedule: The structured listing says 20+ hours per week. The role description anticipates 15 hours per week on average and up to 40 hours per week during peak batches.
• Engagement: Four-week, part-time contractor project with asynchronous work and occasional synchronous calls.
• Required: Faculty appointment at Assistant Professor level or above at an accredited US medical school or academic medical center.
• Required: Board certification in dermatology by the American Board of Dermatology.
• Required: An active medical license in good standing in at least one US state.
• Required: Active clinical practice and at least three years after residency completion.
• Required: Strong written clinical reasoning, consensus documentation, and familiarity with current dermatology guidelines.
• Helpful: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Helpful: Peer-reviewed publications, journal review, IRB or research committee service, resident or fellow teaching, specialty society involvement, or clinical AI research.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

OpenTrain is the hiring and contracting organization for this role. AI training uses expert human review, written feedback, and labeled examples to help artificial intelligence systems produce more accurate and useful results, which is why experienced clinical judgment is important.

OpenTrain helps people find and build careers in AI training and data labeling by creating a profile and applying to projects in one place.